Cambridge University Audio Masking Curves Source Code

This document provides the source code for Cambridge University's audio masking curves, developed using MATLAB programming language. The implementation includes core psychoacoustic models that calculate masking thresholds based on human auditory perception characteristics. Key functions feature Gaussian and polynomial curve fitting algorithms to approximate frequency-domain masking effects. This codebase serves as an excellent reference for understanding the fundamental concepts and principles of audio masking curves, particularly useful for researchers investigating perceptual audio coding and sound engineering applications. For those interested in audio masking mechanisms, this implementation provides a solid foundation for further exploration and customization, allowing modifications to parameters like critical bandwidth calculations and signal-to-mask ratio optimizations. The code is structured with modular functions for easy integration into larger audio processing pipelines.